emaballarin/CARSO-CNN

Pre-trained models for the paper "Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness" (Ballarin et al., 2024)

Developed by: Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi
Repository: github.com/emaballarin/CARSO
Paper: "Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness" (Ballarin et al., 2024)

Citation (BibTeX):

@misc{ballarin2023carefully,
    title={Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness},
    author={Emanuele Ballarin and Alessio Ansuini and Luca Bortolussi},
    year={2023},
    eprint={2306.06081},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}